检索结果-南通市图书馆

Deep Consensus Network for Recycling Waste Detection in Smart Cities

Computers, Materials & Continua 2023年第5期75卷 4191-4205页

作者： Manar Ahmed hamza Hanan Abdullah Mengash Noha Negm Radwa Marzouk Abdelwahed Motwakel Abu Sarwar Zamani Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz University16278AlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science and ArtsKing Khalid UniversityMahayil Asir62529Saudi Arabia

Recently,urbanization becomes a major concern for developing as well as developed *** to the increased urbanization,one of the important challenging issues in smart cities is waste ***,automated waste detection and classification model becomes necessary for the smart city and to accomplish better recyclable waste *** recycling of waste offers the chance of reducing the quantity of waste disposed to the land fill by minimizing the requirement of collecting raw *** study develops a novel Deep Consensus Network with Whale Optimization Algorithm for Recycling Waste Object Detection(DCNWORWOD)in Smart *** goal of the DCNWO-RWOD technique intends to properly identify and classify the objects into recyclable and non-recyclable *** proposed DCNWO-RWOD technique involves the design of deep consensus network(DCN)to detect waste objects in the input *** improving the overall object detection performance of the DCN model,the whale optimization algorithm(WOA)is ***,Na飗e Bayes(NB)classifier is used for the classification of detected waste objects into recyclable and non-recyclable *** performance validation of theDCNWO-RWOD technique takes place using the open access *** extensive comparative study reported the enhanced performance of the DCNWO-RWOD technique interms of several measures.

关键词： Smart city waste management object detection recycling deep consensus network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Seeker Optimization with Deep Learning Enabled Sentiment Analysis on Social Media;

引用

Computers, Materials & Continua 2022年第12期73卷 5985-5999页

作者： Hanan M.Alghamdi Saadia H.A.hamza Aisha M.Mashraqi Sayed Abdel-Khalek Department of Computer Science College of Computing Al-QunfidhahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science and HumanitiesSlayelPrince Sattam Bin AbdulAziz UniversitySaudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UnivesityNajran61441Saudi Arabia Department of Mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohagEgypt

World Wide Web enables its users to connect among themselves through social networks,forums,review sites,and blogs and these interactions produce huge volumes of data in various forms such as emotions,sentiments,views,*** Analysis(SA)is a text organization approach that is applied to categorize the sentiments under distinct classes such as positive,negative,and ***,Sentiment Analysis is challenging to perform due to inadequate volume of labeled data in the domain of Natural Language Processing(NLP).Social networks produce interconnected and huge data which brings complexity in terms of expanding SA to an extensive array of ***,there is a need exists to develop a proper technique for both identification and classification of sentiments in social *** get rid of these problems,Deep Learning methods and sentiment analysis are consolidated since the former is highly efficient owing to its automatic learning *** current study introduces a Seeker Optimization Algorithm with Deep Learning enabled SA and Classification(SOADL-SAC)for social *** presented SOADL-SAC model involves the proper identification and classification of sentiments in social *** order to attain this,SOADL-SAC model carries out data preprocessing to clean the input *** addition,Glove technique is applied to generate the feature ***,Self-Head Multi-Attention based Gated Recurrent Unit(SHMA-GRU)model is exploited to recognize and classify the ***,Seeker Optimization Algorithm(SOA)is applied to fine-tune the hyperparameters involved in SHMA-GRU model which in turn enhances the classifier *** order to validate the enhanced outcomes of the proposed SOADL-SAC model,various experiments were conducted on benchmark *** experimental results inferred the better performance of SOADLSAC model over recent state-of-the-art approaches.

关键词： Sentiment analysis classification of sentiment social media seeker optimization algorithm glove embedding natural language processing

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Transient mixed lubrication model of the human knee implant

引用

Biosurface and Biotribology 2021年第4期7卷 206-218页

作者： hamza Butt Lee Nissim Leiming Gao Connor Myant Greg de Boer Robert Hewson Department of Aeronautics Imperial College LondonLondonUK Department of Mechanical Engineering University of BathBathUK Department of Engineering Nottingham Trent UniversityNottinghamUK Dyson School of Design Engineering Imperial College LondonLondonUK School of Mechanical Engineering University of LeedsLeedsUK

The human knee implant is computationally modelled in the mixed lubrication regime to investigate the tribological performance of the *** model includes the complex geometry of the implant components,unlike elliptical contact models that approximate this *** thickness and pressure results are presented for an ISO gait cycle to determine the lubrication regime present within the implant during its *** was found that it was possible for the lubrication regime to span between elastohydrodynamic,mixed and boundary lubrication depending on the operating conditions of the *** was observed that the tribological conditions present in one condyle were not necessarily representative of the *** points of contact were found within the same condyle,which cannot be computed by the elliptical contact *** model can be used to balance forces in all directions,instead of only the normal loads,as often done in elliptical contact *** work is an initial step towards understanding the role of the complex geometry in the tribological characteristics of the human knee implant when operating in physiological conditions.

关键词： complex geometry knee implant mixed lubrication modelling surface roughness transient

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Sustainable Energy Management with Traffic Prediction Strategy for Autonomous Vehicle Systems

引用

Computers, Materials & Continua 2022年第8期72卷 3465-3479页

作者： Manar Ahmed hamza Masoud Alajmi Jaber SAlzahrani Siwar Ben Haj Hassine Abdelwahed Motwakel Ishfaq Yaseen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia

Recent advancements of the intelligent transportation system(ITS)provide an effective way of improving the overall efficiency of the energy management strategy(EMSs)for autonomous vehicles(AVs).The use of AVs possesses many advantages such as congestion control,accident prevention,and ***,energy management and traffic flow prediction(TFP)still remains a challenging problem in *** complexity and uncertainties of driving situations adequately affect the outcome of the designed *** this view,this paper presents novel sustainable energy management with traffic flow prediction strategy(SEM-TPS)for *** SEM-TPS technique applies type II fuzzy logic system(T2FLS)energy management scheme to accomplish the desired engine torque based on distinct *** addition,the membership functions of the T2FLS scheme are chosen optimally using the barnacles mating optimizer(BMO).For accurate TFP,the bidirectional gated recurrent neural network(Bi-GRNN)model is used in AVs.A comprehensive experimental validation process is performed and the results are inspected with respect to several evaluation *** experimental outcomes highlighted the supreme performance of the SEM-TPS technique over the recent state of art approaches.

关键词： Sustainable energy transportation energy management traffic flow prediction soft computing deep learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Recent Techniques for Harvesting Energy from the Human Body

引用

Computer Systems Science & Engineering 2022年第1期40卷 167-177页

作者： Nidal M.Turab hamza Abu Owida Jamal I.Al-Nabulsi Mwaffaq Abu-Alhaija Department of Networks and Information Security Faculty of Information TechnologyAl-Ahliyya Amman UniversityAmman19328Jordan Medical Engineering Department Faculty of EngineeringAl-Ahliyya Amman UniversityAmman19328Jordan

The human body contains a near-infinite supply of energy in chemical,thermal,and mechanical ***,the majority of implantable and wear-able devices are still operated by batteries,whose insufficient capacity and large size limit their lifespan and increase the risk of hazardous material *** energy can be used to exceed the battery power limits of implantable and wear-able ***,novel materials and fabrication methods can be used to create various medical therapies and life-enhancing *** review paper focuses on energy-harvesting technologies used in medical and health applications,primarily power collectors from the human *** approaches to energy harvesting from the bodies of living subjects for self-powered electronics are *** the human body as an energy source encompasses numer-ous topics:thermoelectric generators,power harvesting by kinetic energy,cardi-ovascular energy harvesting,and blood *** review considers various perspectives on future research,which can provide a new forum for advancing new technologies for the diagnosis,treatment,and prevention of diseases by integrating different energy harvesters with advanced electronics.

关键词： Harvesters implantable medical devices thermoelectric generators cardiovascular systems human motion harvesters

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Comprehensive review of text‑mining applications in finance

引用

Financial Innovation 2020年第1期6卷 732-756页

作者： Aaryan Gupta Vinya Dengre hamza Abubakar Kheruwala Manan Shah Department of Computer Science Nirma UniversityAhmedabadGujaratIndia Department of Chemical Engineering School of TechnologyPandit Deendayal Petroleum UniversityGandhinagarGujarat 382007India

Text-mining technologies have substantially affected financial *** the data in every sector of finance have grown immensely,text mining has emerged as an important field of research in the domain of ***,reviewing the recent literature on text-mining applications in finance can be useful for identifying areas for further *** paper focuses on the text-mining literature related to financial forecasting,banking,and corporate *** also analyses the existing literature on text mining in financial applications and provides a summary of some recent ***,the paper briefly discusses various text-mining methods being applied in the financial domain,the challenges faced in these applications,and the future scope of text mining in finance.

关键词： Text mining Machine learning Financial forecasting Sentiment analysis Text classification Corporate finance

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CAR-T cells for cancer immunotherapy

引用

中国化学快报:英文版 2023年第9期34卷 55-64页

作者： Yangyang Xie Xiaotong Li Jingyi Wu Huiling Zeng hamza Boucetta Binru Wang Pei Yang Wei He School of Pharmacy China Pharmaceutical UniversityNanjing 210000China School of Science China Pharmaceutical UniversityNanjing 210000China Shanghai Skin Disease Hospital Tongji University School of MedicineShanghai 200443China

Adoptive immunotherapy expressing synthetic chimeric antigen receptors(CAR)on T cells through in vitro modifications represents a new and innovative strategy in cancer *** new approach enables T cells to recognize and bind tumor antigens via a single-chain variable fragment recognition domain,circumventing the restriction of major histocompatibility *** review summarized the structure/design of CAR-T cells and the evolution process this technology went through,displaying the theoretical foundation for CAR-T therapy,the marketed products and the latest preclinical and clinical research ***,we provided perspectives on this technology’s development and potential future applications,especially for treating hematological malignant and solid tumors.

关键词： CAR-T cells Cancer Immunotherapy Therapeutic techniques Marketed drugs Universal CAR-T Cell Therapy

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Gauss-Seidel最小二乘渐进迭代逼近

引用

计算机辅助设计与图形学学报 2021年第1期33卷 1-10页

作者： Yusuf Fatihu hamza 蒋旖旎蔺宏伟浙江大学数学科学学院杭州310027 浙江大学CAD&CG国家重点实验室杭州310058

几何迭代法,即渐进迭代逼近(progressive-iterativeapproximation,PIA),作为一种有效的数据拟合方法,吸引了众多研究者的关注,并获得广泛的应用.针对经典LSPIA算法收敛速度较慢的问题,提出一种基于Gauss-Seidel迭代方法的快速PIA算法,称... 详细信息

几何迭代法,即渐进迭代逼近(progressive-iterativeapproximation,PIA),作为一种有效的数据拟合方法,吸引了众多研究者的关注,并获得广泛的应用.针对经典LSPIA算法收敛速度较慢的问题,提出一种基于Gauss-Seidel迭代方法的快速PIA算法,称为GS-LSPIA.首先,从给定的数据点中选取拟合曲线的控制点;然后,采用累加弦长法参数化给定数据点;最后,GS-LSPIA通过迭代地调整控制点来生成一系列拟合曲线(曲面),并且保证了生成的曲线(曲面)的极限是对于给定数据点的最小二乘拟合结果.在多个曲线曲面拟合上的实验结果表明,为达到相同的拟合精度,GS-LSPIA算法比LSPIA算法需要更少的步骤和更短的运算时间.因此,GS-LSPIA是有效的,而且具有比LSPIA算法更快的收敛速度.

关键词：渐进迭代逼近 Gauss-Seidel迭代法数据拟合

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Hybrid ANN-GWO Algorithm for Prediction of Heart Disease

引用

American Journal of Operations Research 2016年第2期6卷 136-146页

作者： hamza Turabieh Information Technology Department CIT Collage Taif University Taif KSA

The paper investigates the powerful of hybridizing two computational intelligence methods viz., Gray Wolf Optimization (GWO) and Artificial Neural Networks (ANN) for prediction of heart disease. Gray wolf optimization is a global search method while gradient-based back propagation method is a local search one. The proposed algorithm implies the ability of ANN to find a relationship between the input and the output variables while the stochastic search ability of GWO is used for finding the initial optimal weights and biases of the ANN to reduce the probability of ANN getting stuck at local minima and slowly converging to global optimum. For evaluation purpose, the performance of hybrid model (ANN-GWO) was compared with standard back-propagation neural network (BPNN) using Root Mean Square Error (RMSE). The results demonstrate that the proposed model increases the convergence speed and the accuracy of prediction.

关键词： Artificial Neural Network Gray Wolf Optimizer Back-Propagation Heart Disease

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nickel ferrite spinel as catalyst precursor in the dry reforming of methane:Synthesis,characterization and catalytic properties

引用

Journal of Natural Gas Chemistry 2012年第5期21卷 595-604页

作者： Rafik Benrabaa hamza Boukhlouf Axel Lfberg Annick Rubbens Rose-Nelle Vannier Elisabeth Bordes-Richard Akila Barama Laboratoire de Matériaux Catalytiques & Catalyse en Chimie Organique Faculté de ChimieUSTHBBP32 El Alia16111 Bab EzzouarAlgerAlgérie Unité de Catalyse et de Chimie du Solide UMR CNRS 8181Ecole Nationale Supérieure de Chimie de LilleUniversitédes Sciences et Technologies de LilleCité Scientif ique59655 Villeneuve d'AscqFrance

Dry reforming of methane by CO2 using nickel ferrite as precursor of catalysts was *** ferrite crystalline particles were prepared by coprecipitation of nitrates with NaOH or ammonia followed by calcination,or by hydrothermal synthesis without calcination *** textural and structural properties were determined by a number of analysis methods,including X-ray diffraction （XRD）,Raman spectroscopy and X-ray photoelectron spectroscopy （XPS）,among which X-ray diffraction （XRD） was at room and variable *** synthesized oxides showed the presence of micro or nanoparticles of NiFe2O4 inverse spinel,but Fe2O3 （hematite） was also present when ammonia was used for *** reducibility by hydrogen was studied by temperature-programmed reduction （TPR） and in situ XRD,which showed the influence of the preparation *** surface area （BET）,particle size （Rietveld refinement）,as well as surface Ni/Fe atomic ratio （XPS） and the behavior upon reduction varied according to the synthesis *** catalytic reactivity was investigated using isopropanol decomposition to determine the acid/base *** catalytic performance of methane reforming with CO2 was measured with and without the pre-treatment of catalysts under H2 in 650-800 C *** catalytic conversions of methane and CO2 were quite low but they increased when the catalysts were pre-reduced.A significant contribution of reverse water gas shift reaction accounted for the low values of H2 /CO *** coking was observed as shown by the reoxidation step performed after the catalytic *** possible formation of nickel-iron alloy observed during the study of reducibility by hydrogen was invoked to account for the catalytic behavior.

关键词： dry reforming of methane NiFe2O4 spinel hydrothermal synthesis coprecipitation isopropanol decomposition

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：